set hive.mapred.mode=nonstrict;
explain select sum(ss_net_profit) as total_sum ,s_state ,s_county ,grouping__id as lochierarchy , rank() over(partition by grouping__id, case when grouping__id == 2 then s_state end order by sum(ss_net_profit)) as rank_within_parent from store_sales ss join date_dim d1 on d1.d_date_sk = ss.ss_sold_date_sk join store s on s.s_store_sk = ss.ss_store_sk where d1.d_month_seq between 1193 and 1193+11 and s.s_state in ( select s_state from (select s_state as s_state, sum(ss_net_profit), rank() over ( partition by s_state order by sum(ss_net_profit) desc) as ranking from store_sales, store, date_dim where d_month_seq between 1193 and 1193+11 and date_dim.d_date_sk = store_sales.ss_sold_date_sk and store.s_store_sk = store_sales.ss_store_sk group by s_state ) tmp1 where ranking <= 5 ) group by s_state,s_county with rollup order by lochierarchy desc ,case when lochierarchy = 0 then s_state end ,rank_within_parent limit 100;
